Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review.

Kingsley Arua Kalu, Grace Ataguba, Oyepeju Onifade, Fidelia Orji, Nabil Giweli, Rita Orji

Abstract readSystematic Review

In one paragraph

Synthesis in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

Navigating the AI era in dietetics: a qualitative analysis of professional identity, ethical concerns, and future projections in Türkiye.BMC health services research · 2026
Article
Diet-Related Health Recommender Systems for Patients With Chronic Health Conditions: Scoping Review.Journal of medical Internet research · 2026
Article
The impact of generative AI health knowledge acquisition on adolescents' physical activity: the mediating role of exercise self-efficacy and the moderating effect of health information literacy.Frontiers in public health · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kingsley Arua KaluFood Science & Nutrition, School of Science, Translational Health Research Institute, Western Sydney University, Richmond, NSW 2753, Australia.ORCID 0000-0002-4115-233X

Grace AtagubaFaculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada.

Oyepeju OnifadeSchool of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0003-2448-9800

Fidelia OrjiFaculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada.

Nabil GiweliSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, NSW 2751, Australia.

Rita OrjiFaculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada.ORCID 0000-0001-6152-8034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceDiet, HealthyHealth PromotionNutritional StatusAgedAged, 80 and overFeeding BehaviorFemaleHealthy AgingHumansMachine LearningMaleartificial intelligencehealthnutritionolder adults

Identifiers

PMID41156474

DOI10.3390/nu17203223

PMCPMC12566878

What Socratic holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.